The Autonomous Vehicle Vision 2021 (AVVision’21) workshop aims to bring together industry professionals and academics to brainstorm and exchange ideas on the advancement of visual environment perception for autonomous driving. This one-day workshop will include regular paper presentations and invited speakers to present the state of the art as well as the
Topic: Artificial Intelligence (AI)
Join CSIAC Tuesday, January 26 from 1100 to 1200 EST for a webinar presentation titled, "Agile Condor: Supercomputing at the Edge for Intelligent Analytics." Please register in advance at: https://www.anymeeting.com/PIID=EF59DF86894D3E Future military conflicts will take place in contested environments where remote sensors deployed in the field will
U.S. Special Operations Command hopes to increasingly use artificial intelligence and machine learning in all aspects of warfare, its commander said.
The Joint Artificial Intelligence Center began in 2018 to accelerate the DOD's adoption and integration of artificial intelligence. From the start, it was meant to serve as an AI center of excellence and to provide resources, tools and expertise to the department. The JAIC's new director said that while the center's early efforts bore fruit, the overall
Army researchers develop an artificial intelligence architecture that enhances trust and coordination between humans and machines.
The DARPA AlphaDogfight Trials aim to demonstrate the feasibility of developing effective, intelligent autonomous agents capable of defeating adversary aircraft in a dogfight. AlphaDogfight Trials Competition #3 is being broadcast live from the Johns Hopkins University Applied Physics Lab (JHU/APL) via a ZoomGov Webinar on 18-20 August 2020. DARPA’s
Join CSIAC Wednesday, August 12th, at 1100 EDT for our next webinar presentation titled "A Fistful of Data, or the Good, Bad and Ugly of Adversarial Machine Learning." Please register in advance for the webinar at: https://www.anymeeting.com/PIID=EF52D880844A3F This webinar provides an overview of Adversarial Machine Learning (AML), its relationship to
This webinar provides an overview of Adversarial Machine Learning (AML), its relationship to Generative (Deep) Learning, and ways to view AML as a potential enabler for deploying more comprehensive system-level Machine Learning capabilities. The basic ideas driving AML and the system-level architecture needs of an effective integrated ML capability are
Ensuring that technology powered by artificial intelligence will work anywhere requires that AI is "trained" on a diverse data set that readies it for deployment anywhere in the world.
When it comes to advancements in artificial intelligence technology, China does have a lead in some places - like spying on its own people and using facial recognition technology to identify political dissenters. But those are areas where the U.S. simply isn't pointing its investments in artificial intelligence, said director of the Joint Artificial